Confidentiality preservation in user-side integrated energy system management for cloud computing

Nianfeng Tian, Tao Ding, Yongheng Yang, Qinglai Guo, Hongbin Sun, Frede Blaabjerg

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)


Under the development of information and communication technologies, this paper discusses a cloud-based user-side integrated energy management to improve the energy utilization efficiency in a smart community, for which a two-level model is proposed that relies on an energy hub and load aggregators. Furthermore, to address the issue of preserving confidentiality for the cloud service, an information-masking mechanism is designed based on linear mapping functions, whose information-masking requirements and processes are specified accordingly. Numerical results demonstrate the effectiveness of the proposed model and of the method for cloud computing.
Original languageEnglish
JournalApplied Energy
Pages (from-to)1230 - 1245
Number of pages16
Publication statusPublished - Dec 2018


  • Cloud computing
  • Energy hub
  • Integrated energy management
  • Information masking

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